Evidence map›Paper›PMID 39847355›Full record

ArticleJAMA network open2025

Exposure to Secondhand Cannabis Smoke Among Children.

Osika Tripathi, Humberto Parada, Connie Sosnoff, Georg E Matt, Penelope J E Quintana, Yuyan Shi, Sandy Liles, Lanqing Wang, Kevin T Caron, James Oneill and 3 more

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Osika TripathiSan Diego State University, School of Public Health, San Diego, California.
Humberto ParadaSan Diego State University, School of Public Health, San Diego, California.
Connie SosnoffTobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia.
Georg E MattSan Diego State University, Department of Psychology, San Diego, California.
Penelope J E QuintanaSan Diego State University, School of Public Health, San Diego, California.
Yuyan ShiHerbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego.
Sandy LilesSan Diego State University, School of Public Health, San Diego, California.
Lanqing WangTobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia.
Kevin T CaronTobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia.
James OneillSan Diego State University, Department of Mechanical Engineering, San Diego, California.
Ben NguyenHerbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego.
Benjamin C BlountTobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia.
John BellettiereHerbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego.

Funding

Research Education CoreU54CA132384 · NCI · SAN DIEGO STATE UNIVERSITY · PI CRIPPS, RICHARD MATTHEW, CROWE, SHEILA E. · 2008 to 2022
$20.7M
Research Education CoreU54CA132379 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ARREDONDO, ELVA M, CROWE, SHEILA E. · 2008 to 2021
$16.1M
San Diego Resource Center for advancing Alzheimer's Research in Minority Seniors (ARMS)P30AG059299 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Tala Al-Rousan · 2018 to 2026
$7.4M
UCSD Integrated Cardiovascular Epidemiology FellowshipT32HL079891 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Matthew A Allison · 2007 to 2026
$6.7M
Innovation for Smoke-Free Homes: Real-Time FeedbackR01HL103684 · NHLBI · SAN DIEGO STATE UNIVERSITY · PI HOVELL, MELBOURNE F · 2011 to 2015
$5.4M
Red Blood Cell Polyunsaturated Fatty Acids and Breast Cancer Mortality in the Women's Healthy Eating and Living (WHEL) StudyK01CA234317 · NCI · SAN DIEGO STATE UNIVERSITY · PI PARADA, HUMBERTO · 2019 to 2023
$928k
Transdisciplinary Training for Predoctoral Behavioral ScientistsT32GM084896 · NIGMS · SAN DIEGO STATE UNIVERSITY · PI HOVELL, MELBOURNE F · 2008 to 2012
$789k
NCI NIH HHS K01 CA234317NCI NIH HHS U54 CA132379NCI NIH HHS U54 CA132384NHLBI NIH HHS R01 HL103684NHLBI NIH HHS T32 HL079891NIA NIH HHS P30 AG059299NIGMS NIH HHS T32 GM084896
6 · The paper itself

Abstract

Importance: The degree that in-home cannabis smoking can be detected in the urine of resident children is unclear. Objective: Test association of in-home cannabis smoking with urinary cannabinoids in children living at home. Design, Setting, and Participants: This cross-sectional study used baseline data from Project Fresh Air, a 2012-2016 randomized clinical trial to reduce fine particulate matter levels. Eligible participants were recruited from households in San Diego County, California, with children under age 14 years and an adult tobacco smoker in residence. Children's urine samples were analyzed in 2022. Exposures: In-home cannabis smoking, measured by: parent or guardian report of in-home cannabis smoking; number of daily nonspecific smoking events computed via an air particle count algorithm; and number of daily cannabis smoking events ascertained by residualization, adjusting for air nicotine, tobacco smoking, and other air particle generating or ventilating activities. Main Outcomes and Measures: Levels of the cannabis biomarker Δ9-tetrahydrocannabinol (THC) and its major metabolites, 11-hydroxy-Δ9-tetrahydrocannabinol and 11-nor-9-carboxy-Δ9-tetrahydrocannabinol. Biomarker molar equivalents were summed to represent total THC equivalents (TTE) in urine. Logistic regression assessed whether in-home smoking was associated with cannabis biomarker detection. For children with detectable urinary cannabinoids, linear regression assessed in-home smoking association with quantity of urinary TTE. Results: A total of 275 children were included in analysis (mean [SD] age, 3.6 [3.6] years; 144 male [52.4%]; 38 Black [13.8%], 132 Hispanic [48.0%], and 52 White [18.9%]). Twenty-nine households (10.6%) reported in-home cannabis smoking in the past 7 days; 75 children [27.3%] had detectable urinary cannabinoids. Odds of detectable TTE in children's urine were significantly higher in households with reported in-home cannabis smoking than households without (odds ratio [OR], 5.0; 95% CI, 2.4-10.4) and with each additional ascertained daily cannabis smoking event (OR, 2.5; 95% CI, 1.6-3.9). Although the point estimate for TTE levels was higher among children with detectable urinary cannabinoids and exposure to more daily cannabis smoking events (increase per event, 35.68%; 95% CI, -7.12% to 98.21%), the difference was not statistically significant. Conclusions and Relevance: In this cross-sectional study, in-home cannabis smoking was associated with significantly increased odds of child exposure to cannabis smoke, as assessed by urinary cannabinoid biomarkers. As young children spend most of their time at home, reducing in-home cannabis smoking could substantially reduce their exposure to the toxic and carcinogenic chemicals found in cannabis smoke.

Indexed as

Air Pollution, IndoorEnvironmental ExposureMarijuana SmokingTobacco Smoke PollutionAdolescentBiomarkersCaliforniaChildChild, PreschoolCross-Sectional StudiesDronabinolFemaleHumansMaleBiomarkersDronabinolTobacco Smoke Pollution

Identifiers

PMID39847355
PMCPMC11758598

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.